9786204956763 - fingerprint recognition using fuzzy and adaptive neuro-fuzzy inference: fingerprint analysis is a widely used biometric identification technique for criminal investigation purposes di mohindru, pankaj; sharma, govind; mohindru, pooja (3 risultati)
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 39,35
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Fingerprint Recognition Using Fuzzy and Adaptive Neuro-Fuzzy Inference | Fingerprint analysis is a widely used biometric identification technique for criminal investigation purposes. DE | Pankaj MOHINDRU (u. a.) | Taschenbuch | Großformatiges Paperback. Klappenbroschur | Englisch | LAP Lambert Acade…mic Publishing | EAN 9786204956763 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Da: moluna, Greven, , Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 35,62
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: MOHINDRU PankajDr. PANKAJ MOHINDRUDeptt of Electronics & Communication Engineering, Punjabi University, Patiala. INDIAFingerprints, the oldest and most widespread biometric identification system are co…mmonly used for criminal inv.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 47,30
EUR 65,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fingerprints, the oldest and most widespread biometric identification system are commonly used for criminal investigation in Forensic Science. There is a minute statistical theory on the Rareness of fingerprint minutiae. A critical step… in studying the statistics of Fingerprint minutiae is to reliably extract minutiae from the fingerprint images. However, fingerprint images are rarely of perfect quality. They may be degraded and corrupted due to variations in skin and impression conditions. Inferences drawn from various fingerprint identification algorithms such as minutiae point matching or correlation matching or filter-bank-based fingerprint matching is that the performance is based on the quality of the image taken for fingerprint representation from various sources. Thus image quality should be improved for better detail recognition. This thesis presents an analysis and comparative study to extract minutiae points in a particular fingerprint image. First, a fuzzy logic-based image enhancement method has been applied to obtain a more consistent approximation of minutiae points and their location, and then a different algorithm is used to extract them.
